Abstract
Managing project portfolios has been a challenge to many IT organizations due to the size and complexity of their initiatives that are often cross-functional, fast changing, and transformational in nature. A governance process on project solicitation, evaluation, and monitoring is thus essential to ensure the resulting portfolio creates tangible values, balances across priorities, and supports business objectives. An optimization model to streamline the decision processes for IT portfolios and programs is proposed. We consider project characteristics such as the extent of strategic alignment, expected benefit, development cost, and cross-project synergy to maximize the portfolio value. We also consider team proficiency and resource availability to determine a project portfolio that could be implemented within the overall development time. The multi-objective model identifies the optimal mix among project types and the solution procedure efficiently produces recommendations that are superior to those found with current empirical techniques. We also describe an evolutionary algorithm to find approximate solutions to the optimization model. Possible extensions on how the optimization procedure can go beyond projects to also streamline decisions such as the renewal or replacement of in-flight applications is discussed.
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References
Aaker DA, Tyebjee TT (1978) A model for the selection of interdependent R&D projects. IEEE Trans Eng Manage 25(2):30–36
Aloini D, Dulmin R, Mininno V (2007) Risk management in ERP project introduction: review of the literature. Inf Manage 44(6):547–567
Apfel AL (2009) Activity cycle overview: program and portfolio management. Technical report, Gartner, Inc., Report ID Number: G00167564
Arya A, Mittendorf B (2006) Project assignments when budget padding taints resource allocation. Manage Sci 52(9):1345–1358
Bardhan IR, Kauffman RJ, Naranpanawe S (2006) Optimizing an IT project portfolio with time-wise interdependencies. In: Proceedings of the 39th Hawaii International Conference on system sciences, Kauai, Hawaii, HICSS’06, p. 168b
Benaroch M, Kauffman RJ (1999) A case for using real options pricing analysis to evaluate information technology project investments. Inf Sys Res 10(1):70–86
Bohanec M, Rajkovič V, Semolić B, Pogačnik A (1995) Knowledge-based portfolio analysis for project evaluation. Inf Manag 28(5):293–302
Chen J, Askin RG (2009) Project selection, scheduling and resource allocation with time dependent returns. Eur J Oper Res 193(1):23–34
Cohen I, Golany B, Shtub A (2007) Resource allocation in stochastic, finite-capacity, multi-project systems through the cross entropy methodology. J Sched 10(3):181–193
Cuellar MJ, Gallivan MJ (2006) A framework for ex ante project risk assessment based on absorptive capacity. Eur J Oper Res 173(3):1123–1138
Deb K (2009) Multi-objective optimization using evolutionary algorithms. Wiley, New York
Deblaere F, Demeulemeester E, Herroelen W, Vande Vonder S (2007) Robust resource allocation decisions in resource-constrained projects. Decis Sci 38(1):5–37
Doerner KF, Gutjahr WJ, Hartl RF, Strauss C, Stummer C (2006) Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection. Eur J Oper Res 171(3):830–841
Eilat H, Golany B, Shtub A (2006) Constructing and evaluating balanced portfolios of R&D projects with interactions: a DEA based methodology. Eur J Oper Res 172(3):1018–1039
Engwall M, Jerbrant A (2003) The resource allocation syndrome: the prime challenge of multi-project management?. Int J Proj Manage 21(6):403–409
Ghasemzadeh F, Archer N, Iyogun P (1999) A zero-one model for project portfolio selection and scheduling. J Oper Res Soc 50(7):745–755
Granot D, Zuckerman D (1991) Optimal sequencing and resource allocation in research and development projects. Manage Sci 37(2):140–156
Gustafsson J, Salo A (2005) Contingent portfolio programming for the management of risky projects. Oper Res 53(6):946–956
Heidenberger K, Stummer C (1999) Research and development project selection and resource allocation: a review of quantitative modeling approaches. Int J Manage Rev 1(2):197–224
Herroelen W, De Reyck B, Demeulemeester E (1998) Resource-constrained scheduling: a survey of recent developments. Comput Oper Res 25(4):279–302
Hess SW (1962) A dynamic programming approach to R and D budgeting and project selection. IRE Trans Eng Manag 9(4):170–179
Leus R, Herroelen W (2004) Stability and resource allocation in project planning. IIE Trans 36(7):667–682
Levine HA (2005) Project portfolio management: a practical guide to selecting projects, managing portfolios, and maximizing benefits. Jossey-Bass, San Francisco
Liesiö J, Mild P, Salo A (2008) Robust portfolio modeling with incomplete cost information and project interdependencies. Eur J Oper Res 190(3):679–695
Linton JD, Walsh ST, Morabito J (2002) Analysis, ranking and selection of R&D projects in a portfolio. R&D Manage 32(2):139–148
Maizlish B, Handler R (2005) IT portfolio management step-by-step: unlocking the business value of technology. Wiley, New York
Man Z, Wei T, Xiang L, Lishan K (2008) Research on multi-project scheduling problem based on hybrid genetic algorithm. In 2008 International Conference on computer science and software engineering, pp 390–394
Mieritz L, Fitzgerald D (2010) ITS core overview for program and portfolio management. Technical report, Gartner, Inc., Report ID Number: G00205800
Morcos MS (2008) Modelling resource allocation of R&D project portfolios using a multi-criteria decision-making methodology. Int J Qual Reliab Manag 25(1):72–86
Nozick LK, Turnquist MA, Xu N (2004) Managing portfolios of projects under uncertainty. Ann Oper Res 132(1-4):243–256
Sanchez H, Robert B, Pellerin R (2008) Risk-opportunity identification framework. Proj Manag J 39(3):97–109
Sanwal A (2007) Optimizing corporate portfolio management: aligning investment proposals with organizational strategy. Wiley, New York
Shtub A, Bard J, Globerson S (2005) Project management: processes, methodologies, and economics. 2nd edn. Prentice-Hall, Inc., Englewood Cliffs, NJ
The Enterprise Portfolio Management Council (2009) Project portfolio management: a view from the management trenches. Wiley, New York
Wallace L, Keil M, Rai A (2004) Understanding software project risk: a cluster analysis. Inf Manag 42(1):115–125
Wang Y, Perkins JR, Khurana A (2002) Optimal resource allocation in new product development projects: a control-theoretic approach. IEEE Trans Autom Control 47(8):1267–1276
Yang K-K, Sum C-C (1997) An evaluation of due date, resource allocation, project release, and activity scheduling rules in a multiproject environment. Eur J Oper Res 103(1):139–154
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Chiang, I.R., Nunez, M.A. Strategic alignment and value maximization for IT project portfolios. Inf Technol Manag 14, 143–157 (2013). https://doi.org/10.1007/s10799-012-0126-9
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DOI: https://doi.org/10.1007/s10799-012-0126-9